Autonomy Data Scientist: Perception Validation & Metrics

Ev Magazine; Boston (MA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Paid time off

Job summary

Zoox is seeking a Data Scientist to join the Perception Verification and Validation team in Boston. You will define performance metrics, build datasets, and analyze results to quantify perception system behavior and uncertainty, collaborating with perception and systems engineers on end-to-end driving performance.

The role requires advanced statistics, SQL, Python, and experience with exploration, visualization, and experimental design.

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, or a related field.
• Proficient using data query languages (SQL and/or Spark/Scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code.
• Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
• Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
• Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.

Responsibilities

• Define key performance metrics to measure the impact of new features on the perception stack and end-to-end system behavior.
• Create and maintain datasets to evaluate perception stack and driving performance.
• Analyze large-scale metric results to identify patterns and insights about perception failure modes.
• Present results and insights to leadership.
• Design and implement statistical methods to quantify uncertainty in performance and validation metrics.

Skills

SQL

Python

EDA

Statistical modeling

Data visualization

A/B testing

Education

Master's or PhD in Statistics/Math/CS

Tools

Spark/Scala

Job description

Zoox is seeking a Data Scientist to join the Perception Verification and Validation team in Boston. You will define performance metrics, build datasets, and analyze results to quantify perception system behavior and uncertainty, collaborating with perception and systems engineers on end-to-end driving performance.

The role requires advanced statistics, SQL, Python, and experience with exploration, visualization, and experimental design.